|
چکیده
|
In this study, a new, cheap, simple and rapid method for the determination of copper in water and food
samples using air-assisted liquid–liquid microextraction and digital image decomposition into the
primary colors Red (R), Green (G) and Blue (B) is introduced. In the proposed method, sodium diethyldithiocarbamate (Na-DDTC) and carbon tetrachloride (CCl4) were used as the chelating agent and
extraction solvent, respectively. The digital images of the extraction phase were obtained using an
Android mobile phone and analyzed using a free app (Color Grab). Then the value of the B channel was
taken as the analytical signal. The effects of different parameters influencing the extraction efficiency
were investigated and optimized. Under the optimal conditions, the limit of detection (LOD) and
quantitation (LOQ) were 1.5 and 5 mg L1, respectively. The repeatability of the proposed method,
expressed as the relative standard deviation (RSD), was 4.53% for intra-day (n ¼ 8, C ¼ 100 mg L1) and
5.66% for inter-day (n ¼ 5) precision. The proposed method was applied for the determination of trace
amounts of copper in rice, lettuce and water samples with satisfactory results validated by the Graphite
Furnace Atomic Absorption Spectrometry technique.
|